… classification algorithms including Naïve Bayes, J48, Random Forest, Logistic Regression,
K-Nearest Neighbors, Support Vector Machines, … learning is Support Vector Machine. This …

… 82.78% for all the features and 86.34% for features selected. The accuracy for the proposed
algorithm is high when compared to other features selection like Naïve Bayes, K-the nearest …

… j48 classifier (61.98%) and naive Bayes of (43.27%), Jrip … high accuracy when using a
support vector machine (SVM) as … Lu, Incorporating feature selection method into support vector …

… Furthermore, GOA uses support vector machine (SVM) as a … parameters for improved
classification performance. Savic et … the Bayesian Network showed an accuracy rate of 85.76%, …

… It is the algorithm that is used by the Support Vector Machine(… the help of Naive Bayes,
Decision Table, and J48. However, … algorithms like Naïve Bayes and Support Vector Machine (…

… algorithm on two datasets which are being evaluated using … feature selection, and
implementation using naïve bayes … (RBF) network, multilayer perceptron, ,J48 and other similar …

… and Bagging by making use of J48 decision tree for classifying the diabetes. After … support
vector machines, artificial neural networks, and Naïve Bayes method with taking all the features…

… learning techniques eg the Naïve Bayes technique. Experimental … Tree (J48), Naïve Bayes,
Support Vector Machines and … less time eg Support Vector Machines. The performance of …

… For example, Naïve Bayes (NB) and Weighted Naïve Bayes … when 19 features are fed into
support vector machines, which is … MLP and J48 are combined, with PCA feature selection. …

… to build classification models such as Naïve Bayes, Logistic … fitness function is standardized
using J48 algorithm. Risk factors … The peak accuracy is achieved by support vector machine …